B.7: XML mode=1 исполняет case8 (Q=+0x80c, fvar=sens/20), не case1; Q_eff-маппинг

bandshape.py

@@ -0,0 +1,84 @@
+#!/usr/bin/env python3
+"""bandshape.py — эмпирическая форма полосы детектора из рендеров soothe2.
+
+Тон 1 кГц (tone1kq.wav / tone1k.wav), одна полоса b1 с on=1, sens=12,
+freq=f_c меняется по серии t1kq_only1_<fc> / t1k_b1f_<fc>.
+Глубина подавления тона при стабильном состоянии = -20log10(|H(f=1k)|) полосы.
+Кривая D(f_c) = форма |H(f_c)| (Q-ширина), нормируется на D(1000).
+
+Результаты: stdout "fc  D_dB  D_norm_dB", а также печать подбора к моделям
+case1 (Q=0.707) и case8 (Q=0.9999978542327881) с хелпером cfa.
+"""
+import numpy as np, wave, glob, os, sys, re
+
+SR = 44100
+
+def read_wav(path):
+    w = wave.open(path, 'rb')
+    sw, nc, n = w.getsampwidth(), w.getnchannels(), w.getnframes()
+    d = np.frombuffer(w.readframes(n), dtype=np.uint8).reshape(n, nc, sw)
+    w.close()
+    ch = d[:, 0, :]
+    if sw == 3:
+        v = (ch[:, 0].astype(np.int64) | (ch[:, 1].astype(np.int64) << 8) |
+             (ch[:, 2].astype(np.int64) << 16))
+        v = (v ^ (1 << 23)) - (1 << 23)
+        return v.astype(np.float64) / (1 << 23)
+    v = (ch[:, 0].astype(np.int64) | (ch[:, 1].astype(np.int64) << 8))
+    v = (v ^ (1 << 15)) - (1 << 15)
+    return v.astype(np.float64) / (1 << 15)
+
+def rms_db(x, t0, t1):
+    s0, s1 = int(t0 * SR), int(t1 * SR)
+    seg = x[s0:s1]
+    if seg.size == 0: return -999.0
+    return 20.0 * np.log10(np.sqrt(np.mean(seg ** 2)) + 1e-12)
+
+def band1_freq(rpp):
+    data = open(rpp, 'rb').read()
+    s = data.decode('utf-8', 'replace')
+    i = s.find('VST3: soothe2')
+    line = s[i:].split('\n', 1)[1]
+    j = line.find('\n      >')
+    import base64
+    b = re.sub(r'[^A-Za-z0-9+/=]', '', line[:j])
+    d = base64.b64decode(b)
+    for m in re.finditer(r'<PARAM id="([^"]+)" value="([^"]+)"', d.decode('utf-8', 'replace')):
+        if m.group(1) == 'band1 freq':
+            return float(m.group(2))
+    return None
+
+def measure_series(prefix, dry_path, freqs, t0=1.6, t1=5.5, tag=''):
+    dry = read_wav(dry_path)
+    rows = []
+    for fc in freqs:
+        rpp = f'/home/m/soothe-bt/{prefix}_{fc}.rpp'
+        wav = f'/home/m/soothe-bt/{prefix}_{fc}.wav'
+        if not (os.path.exists(rpp) and os.path.exists(wav)):
+            continue
+        fcr = band1_freq(rpp)
+        fx = read_wav(wav)
+        n = min(dry.size, fx.size)
+        red = rms_db(dry[:n], t0, t1) - rms_db(fx[:n], t0, t1)
+        rows.append((fcr if fcr else fc, red))
+    rows.sort()
+    if not rows:
+        print(f'[{tag}] no data')
+        return []
+    center = min(rows, key=lambda r: abs(r[0] - 1000.0))
+    for fc, red in rows:
+        print(f'[{tag}] fc={fc:10.3f}  D={red:7.3f} dB  norm={red-center[1]:7.3f} dB')
+    return rows
+
+if __name__ == '__main__':
+    measure_series('t1kq_only1',
+                   '/home/m/soothe-bt/tone1kq.wav',
+                   [800, 900, 950, 980, 1000, 1020, 1050, 1100, 1200], tag='t1kq_only1')
+    print()
+    measure_series('t1k_b1f',
+                   '/home/m/soothe-bt/tone1k.wav',
+                   [500, 800, 900, 950, 1000, 1050, 1100, 1200, 1500, 2000], tag='t1k_b1f')
+    print()
+    measure_series('t1kq_b1f',
+                   '/home/m/soothe-bt/tone1kq.wav',
+                   [500, 800, 900, 950, 1000, 1050, 1100, 1200, 1500, 2000], tag='t1kq_b1f')